Chief Product Officer

Remote - US;
San Mateo, California, United States;
San Mateo, California, United States

About Backblaze

Backblaze is a leading cloud storage and data protection company that delivers simple, affordable, and scalable solutions to businesses and developers worldwide. With over four exabytes of customer data under management and hundreds of thousands of users globally, Backblaze empowers organizations to store, use, and protect data without the restriction or high costs associated with traditional providers.

Built on a foundation of transparency, reliability, and customer‑centricity, Backblaze has earned the trust of AI innovators, high‑growth startups, and enterprise clients seeking high‑performance, cost‑efficient infrastructure. As the AI economy accelerates, Backblaze is emerging as a strategic alternative to hyper‑scale cloud providers. Over the past year, data stored by AI customers has increased 25×, including the company’s largest‑ever contract, reinforcing Backblaze’s value in mission‑critical environments.

To support this momentum, Backblaze is making significant investments in engineering velocity, platform modernization, and AI‑ready capabilities. Positioned at the intersection of simplicity, performance, and innovation, Backblaze is building the cloud infrastructure needed for the next generation of data‑driven companies.

You’ll report to the CEO and lead our Product Management function including UX Design, User Research, and PMO.

Your mandate: define a market‑backed vision, turn customer problems into shippable solutions, and expand Backblaze into new segments while growing adoption and retention. You’ll partner closely with Engineering (for developer experience and delivery), Finance/Rev Ops (for pricing, packaging, and ROI), and GTM teams to turn strategy into measurable outcomes.

Location: This position may be remote, but we value face‑to‑face collaboration. Our distributed leadership team meets in person every few months, and the role will require roughly 10–20% travel to conferences and trade shows.

• Product vision & strategy – Set the multi‑year product direction across B2 Cloud Storage and Backup, anchored in user problems, PLG customer segment understanding, and clear bets. Balance innovation and vision with tech debt, security, compliance, and operational realities.
• Roadmap & monetization – Decide portfolio priorities and tradeoffs. Run pricing and packaging experiments with Finance/Rev Ops as core stakeholders. Tie decisions to adoption, NRR, and margin.
• Developer experience – Work with Eng to make APIs, SDKs, and docs dead‑simple. Improve developer activation and time‑to‑first‑success.
• AI & new workloads – Serve AI data pipelines (training, evaluation, artifacts), analytics, high‑performance computing, media workflows, and other throughput‑intensive workloads with practical features customers will use – not buzzwords.
• Enterprise‑grade readiness – Raise the bar on security, compliance, data‑residency, immutability, KMS/SSO, hybrid patterns, and ransomware/backup protections – while keeping the Backblaze simplicity customers expect.
• Market expansion – Win share in target segments (enterprise IT, mid‑market, global). Tailor offers and GTM with PMM/Sales. Support lighthouse deals when product input moves the needle.
• Customer mechanisms – Keep the customer’s voice at the table: CAB with top accounts, design‑partner cohorts for emerging bets, and post‑launch adoption reviews.
• Metrics & outcomes – Own the scorecard. Define a small set of product KPIs – market share in target segments, bytes stored growth, activation to first success, adoption and NRR, customer satisfaction – and drive them.
• Team leadership – Build, coach, and scale a strong PM team that can deliver differentiated, commercially successful products.

• 15+ years in product leadership with deep experience in storage, backup, or adjacent data infrastructure; senior leadership (VP/CPO) roles in SaaS, IaaS, or cloud platforms.
• Track record bringing new, differentiated products to market that met customer needs and achieved commercial success.
• Proven exposure to AI/ML data pipelines, analytics,…